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International Journal of Production Research Volume 61, 2023 - Issue 7
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A literature review on robust and real-time models for cross-docking

Bilge TorbaliUniv. Grenoble Alpes, CNRS, Grenoble INP, G-SCOP, Grenoble, FranceCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3157-5881View further author information
ORCID Icon &
Gülgün AlpanUniv. Grenoble Alpes, CNRS, Grenoble INP, G-SCOP, Grenoble, FranceORCID Iconhttps://orcid.org/0000-0002-2161-3848View further author information
ORCID Icon
Pages 2372-2401 | Received 20 Jan 2021, Accepted 29 Mar 2022, Published online: 30 Apr 2022

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Devinder Kumar, Rajesh Kr Singh, Ruchi Mishra & Ilias Vlachos. (2024) Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions. International Journal of Production Research 62:4, pages 1489-1509.
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Articles from other publishers (2)

Feriştah ÖZÇELİK, Tuğba SARAÇ & Mehmet Cem ÖZ. (2023) ÇAPRAZ SEVKİYATTA İŞÇİ SAYISINA BAĞLI YÜKLEME VE BOŞALTMA SÜRELERİNİN OLDUĞU KAPI ATAMA PROBLEMİDOCK-DOOR ASSIGNMENT PROBLEM WITH THE NUMBER OF WORKERS DEPENDENT LOADING AND UNLOADING TIMES IN CROSS-DOCKING. Endüstri Mühendisliği 34:3, pages 311-333.
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Bilge Torbali & Gülgün Alpan. (2023) A multi-agent-based real-time truck scheduling model for cross-docking problems with single inbound and outbound doors. Supply Chain Analytics 3, pages 100028.
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